What runtime does ynab-mcp-server require?
It requires Node.js and npm. Build commands are `npm install` and `npm run build`.
@MCP-Mirror
基本情報
Mirror of
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"ynab-mcp-server": {
"command": "npx",
"args": [
"ynab-mcp-server"
],
"env": {
"YNAP_API_TOKEN": ""
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
A Model Context Protocol (MCP) server built with mcp-framework that provides tools for interacting with your YNAB budgets. It is intended for use with AI assistants to manage YNAB data via conversation.
Set the environment variable YNAB_API_TOKEN with your YNAB personal access token. Build the project (npm install && npm run build), then add the server to your MCP client configuration (e.g., Claude Desktop) using the command and path to the built index.js, or use npx after publishing.
It requires Node.js and npm. Build commands are `npm install` and `npm run build`.
You must set the environment variable `YNAB_API_TOKEN` with your personal access token from YNAB. This token is never sent directly to the LLM; it is stored privately in the environment.
The README provides configuration examples for Claude Desktop and links to other MCP clients at https://modelcontextprotocol.io/clients.
Yes, you can extend the server by adding new tools using the CLI command `mcp add tool <tool-name>` and referencing the YNAB OpenAPI specification.
The optional `KNOWLEDGE_DIR` and `KNOWLEDGE_FILE` environment variables allow you to specify where and how server knowledge (e.g., budget selections) is stored. Defaults to `data/server-knowledge.json` in the server directory.

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